Learn more about Model-Based Calibration

Using Data

This section describes all aspects of loading, manipulating, and selecting data in the Model Browser. The Data Editor provides a powerful graphical interface for dealing with data:

• You use the Data Editor for loading, filtering, grouping, and editing data, and you can define new variables. You can match data to designs. You can reach the Data Editor from every node in the model tree, so you can also examine and export your modeling data. The Data Editor contains various graphical interfaces for these tasks:

  • Data Import Wizard for loading and merging data

  • Variable Editor, Filter Editor, Test Filter Editor, and Test Notes Editor are dialog boxes for creating and editing new variables and data filters.

  • Storage dialog box for storing new variables, data filters, and plot settings

  • Test Groupings dialog box can be used for plotting and manipulating data groups.

  • Within the Data Editor there are 2-D, 3-D, and multiple data plots for viewing data, and cluster plots for viewing data and design points.

  • You use the cluster plots views within the Data Editor for matching data to experimental designs. You can set tolerances for automatic selection of the nearest data points to the specified design points, or select data points manually.

• You use the Data Wizard to select data for modeling. You can also set up matching data to designs by setting tolerances and automatically opening the cluster plots views within the Data Editor. You reach the Data Wizard from test plan level.

You can load and merge data from the following:

• From files (Excel, Concerto, MATLAB)

• From the workspace

See Data Loading and Merging.

You can also write your own data-loading functions. See Data Loading Application Programming Interface.

Within The Data Editor, you can do the following:

• View plots, edit and add data records. See Data Editor Views.

• Define new variables. See Creating Variables.

• Apply filters to remove unwanted records, filter by test, and apply notes to tests that fulfill set criteria. See Creating Filters.

• Store and retrieve user-defined variables and filters. See Storage.

• Define test groupings to collect data into groups.

• Match data to experimental designs using thecluster plots views.

• Export data and modeling output to file and to the workspace.

You use theData Wizard to do the following:

• Select the data set and design to use for modeling.

• Select the data signals to use for model input factors (one-stage, or local and global for two-stage).

• Select matching tolerances (if matching data to a design).

• Select data signals for response model input factors.

There is a tutorial to guide you through using the Data Editor. See Tutorial: Data Editor in the Getting Started documentation.

Tip for Fast Data Editor Access

When you open the Data Editor from the test plan level, a Cluster Plot is displayed. If you want to open the Data Editor frequently from the test plan level, it will save time if you previously had a Cluster Plot view open when you last used the Data Editor.

The Data Editor retains memory of the types of views open when you last used the Data Editor. If the previous views did not include a Cluster Plot view, then when you open the Data Editor from the test plan level the existing views are saved and replaced with a Cluster Plot view and a Cluster Information list view. The views revert to the previous views when you close the Data Editor. This process takes longer to display than if you had an existing Cluster Plot view (the Cluster Information list view is not required).

Data

The Data Editor

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